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Documentation Index

Fetch the complete documentation index at: https://docs.upsonic.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

A built-in tool that allows models to connect to and use tools from MCP (Model Context Protocol) servers. This enables your agent to interact with external services, databases, and local applications that expose an MCP-compatible endpoint.

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Usage

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1. Using Public MCP Server (Anthropic)

Run this example as is to test connection to a public MCP server. 
from upsonic import Agent, Task
from upsonic.tools.builtin_tools import MCPServerTool
from upsonic.models.anthropic import AnthropicModel

# Create Anthropic model
model = AnthropicModel(
    model_name="claude-sonnet-4-5",
    provider="anthropic"
)

# Connect to DeepWiki MCP server (Public, No Auth)
mcp_tool = MCPServerTool(
    id='deepwiki',
    url='https://mcp.deepwiki.com/mcp'
)

# Create agent with the tool
agent = Agent(model=model, tools=[mcp_tool])

# Run task
task = Task('Tell me about the Upsonic/Upsonic repo.')
result = agent.print_do(task)
print("Result:", result)

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2. Using Public MCP Server (OpenAI)

Same example using OpenAI Responses model. 
from upsonic import Agent, Task
from upsonic.tools.builtin_tools import MCPServerTool
from upsonic.models.openai import OpenAIResponsesModel

# Create OpenAI Responses model
model = OpenAIResponsesModel(
    model_name="gpt-4o",
    provider="openai"
)

# Connect to DeepWiki MCP server (Public, No Auth)
mcp_tool = MCPServerTool(
    id='deepwiki',
    url='https://mcp.deepwiki.com/mcp'
)

# Create agent with the tool
agent = Agent(model=model, tools=[mcp_tool])

# Run task
task = Task('Tell me about the Upsonic/Upsonic repo.')
result = agent.print_do(task)
print("Result:", result)

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Parameters

  • id (str): Unique identifier for the MCP server
  • url (str): URL of the MCP server
    • For OpenAI connectors, use x-openai-connector:<connector_id>
  • authorization_token (str, optional): Authorization header value (e.g., Bearer <token>)
    • Supported by: OpenAI Responses, Anthropic
  • description (str, optional): Description of the MCP server’s capabilities
    • Supported by: OpenAI Responses
  • allowed_tools (List[str], optional): specific list of tools to enable from the server
    • Supported by: OpenAI Responses, Anthropic
  • headers (Dict[str, str], optional): Custom HTTP headers for the connection
    • Supported by: OpenAI Responses